Stereo matching with partial information
Yusuf Cem Subakan, Ömer Can Gürol, Çağatay Dikici · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2013
In this paper, we address the stereo matching problem in stereo videos using partially informed Markov Random Fields (MRFs) using the motion information between subsequent frames as a side information. We use the motion vectors within one of the videos to regularize the disparity estimate using this motion eld. The proposed scheme enables us to obtain good disparity estimates using faster and simpler disparity nding algorithms in each step.